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---
language:
- es
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- jorgeortizfuentes/toxicity_spanish_hate_speech_v2
metrics:
- f1
base_model: dccuchile/patana-chilean-spanish-bert
model-index:
- name: hate_speech-dv2-patana-chilean-spanish-bert-8k0iqdv2
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: jorgeortizfuentes/toxicity_spanish_hate_speech_v2
type: jorgeortizfuentes/toxicity_spanish_hate_speech_v2
split: validation
metrics:
- type: f1
value: 0.8160919540229885
name: F1
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hate_speech-dv2-patana-chilean-spanish-bert-8k0iqdv2
This model is a fine-tuned version of [dccuchile/patana-chilean-spanish-bert](https://huggingface.co/dccuchile/patana-chilean-spanish-bert) on the jorgeortizfuentes/toxicity_spanish_hate_speech_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1628
- F1: 0.8161
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 13
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0528 | 5.0 | 430 | 0.1698 | 0.7376 |
| 0.003 | 10.0 | 860 | 0.1628 | 0.8161 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
|